Invention Grant
- Patent Title: Deep reinforcement learning for long term rewards in an online connection network
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Application No.: US16743486Application Date: 2020-01-15
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Publication No.: US11620595B2Publication Date: 2023-04-04
- Inventor: Siyuan Gao , Yiou Xiao , Parag Agrawal , Aastha Jain
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman, Lundberg & Woessner, P.A.
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06N20/00 ; G06Q50/00 ; H04L67/50 ; G06Q10/0631

Abstract:
An online connection server is configured to more accurately predict connections for a viewing member of an online connection network. The online connection server may implement a machine-learning model that uses prior interactions by the viewing member to determine those connections that are likely to lead to more substantial interactions with the viewing member. The machine-learning model may be implemented using a reinforcement learning technique, such as a Deep Q network. The online connection server may further implement a state representation module that generates a state from a graph-based embedding of the viewing member profile, where the state is used to train the machine-learning model and determine an optimal candidate to recommend as a connection for the viewing member.
Public/Granted literature
- US20210216944A1 DEEP REINFORCEMENT LEARNING FOR LONG TERM REWARDS IN AN ONLINE CONNECTION NETWORK Public/Granted day:2021-07-15
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